added FFN.probInput for the probabilities of mutation
globalProbInput for the probabilities of mutation
recoded FFN. 1 hidden layer only, transfer functions are: sigmoid for the hidden layer, linear for the output layer. tested on 2d linear case for data to data training and batch training
tested on a 5D environment. Predictors do not evolve, they are simply trained, no dime delay. They all learn when the hidden layer is large enough
tested the influence of the size of the hidden layer. in the case of 1 hidden layer